PuchAI Resume Portfolio MCP server

Serves personal resume data in multiple formats and fetches web content with automatic format conversion, validation tools, and content simplification for portfolio access and web research tasks.
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Setup instructions
Provider
Jigyasu Rajput
Release date
Jul 02, 2025
Language
JavaScript
Stats
1 star

PuchAI MCP Server is a Model Context Protocol server implementation that allows for seamless communication with AI models. This server follows the MCP standard and can be quickly deployed or run locally depending on your requirements.

Quick Deployment

You can deploy the MCP server with a single click using Render's deployment service:

Deploy to Render

Local Setup

Prerequisites

Before installing the MCP server locally, ensure you have Python installed on your system.

Installation Steps

  1. Create a virtual environment to isolate dependencies:
python -m venv venv
  1. Activate the virtual environment:

For Windows:

venv\Scripts\activate

For macOS/Linux:

source venv/bin/activate
  1. Install the required dependencies:
pip install -r requirements.txt

Running the Server

Once installation is complete, start the server with:

python run_server.py

By default, the server runs on port 8085, but this can be configured through environment variables.

Server Configuration

Default Settings

The MCP server comes with the following default configuration:

  • Authentication Token: 85b4b747f1cc
  • Contact Phone: 919811227106
  • Default Port: 8085

Custom Port Configuration

You can customize the port by setting the PORT environment variable before starting the server:

# Linux/macOS
export PORT=9000
python run_server.py

# Windows (Command Prompt)
set PORT=9000
python run_server.py

# Windows (PowerShell)
$env:PORT=9000
python run_server.py

Connecting to the Server

To connect to the running MCP server, use the token provided in the configuration section. Client applications should include this token in their authentication headers when making requests to the server.

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "puchai-resume-portfolio" '{"command":"python","args":["run_server.py"],"env":{"PORT":"8085","TOKEN":"85b4b747f1cc"}}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "puchai-resume-portfolio": {
            "command": "python",
            "args": [
                "run_server.py"
            ],
            "env": {
                "PORT": "8085",
                "TOKEN": "85b4b747f1cc"
            }
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "puchai-resume-portfolio": {
            "command": "python",
            "args": [
                "run_server.py"
            ],
            "env": {
                "PORT": "8085",
                "TOKEN": "85b4b747f1cc"
            }
        }
    }
}

3. Restart Claude Desktop for the changes to take effect

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